DEEP Gadget provides the best deep learning platform powered by seven water-cooled GPUs, ready-to-use software stack, and huge virtual GPU memory for DNNs.
7 GPUs in a single DEEP Gadget machine provides up to 86 TFLOPS single-precision peak performance. A closed-circuit water cooling system keeps high-density GPUs at a low temperature.
DEEP Gadget works quietly even at full load because water cooling significantly reduces fan noise. It can even be placed in your office.
Water cooling ensures the long lifetime and reliability of gaming GPUs as with expensive high-end GPUs. Users can choose the appropriate GPU option based on their demands, applications, and budgets.
DEEP Gadget is delivered with pre-installed software stacks including an operating system and deep learning frameworks, such as Caffe and TensorFlow. In addition, the VMDNN library develped by ManyCoreSoft is bundled with DEEP Gadget. Users do not need to worry about the small size of GPU memory because VMDNN virtually expands the memory space on demand during the training period of deep neural networks.
Send us an email (sales@manycoresoft.co.kr) to customize a server and request an inquiry.
All prices are subject to change without any prior notice. Tax and shipping cost are not included.
DEEP Gadget is designed by ManyCoreSoft, who developed the first water-cooled GPU supercomputer in the world.
ManyCoreSoft designed and built Chundoong, the first water-cooled GPU supercomputer in the TOP500 list, in October 2012. Hundreds of water-cooled CPUs and GPUs installed in Chundoong have been in service for more than 5 years.
The liquid cooling solution of ManyCoreSoft is accepted as one of ten Emerging Technologies in SC15, the world's largest exhibition and conference on supercomputing.
| Items | Standalone | Rackmount | ||
|---|---|---|---|---|
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Single-Socket Models
(X1)
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Dual-Socket Models
(X2)
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Dual-Socket Large Memory Models
(X2B)
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| CPU | 1x Intel Xeon E5-2600 v4 series CPU | 2x Intel Xeon E5-2600 v4 series CPUs | Will be released soon | |
| Maximum # of GPUs | 7 | 7 | 6 | |
| GPU |
One of the following:
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| PCIe | 1x PCIe 3.0 x16, 6x PCIe 3.0 x8 | 2x PCIe 3.0 x16, 5x PCIe 3.0 x8 | 2x PCIe 3.0 x16, 4x PCIe 3.0 x8 | |
| Main Memory | DD4 2400 MHz ECC Registered | |||
| 64 GB, 128 GB, or 256 GB | 64 GB, 128 GB, 256 GB, or 512 GB | 1 TB | ||
| Primary Storage | 250 GB, 500 GB, 1 TB, or 2 TB M.2 NVMe SSD | |||
| Secondary Storage (Optional) |
One of the following:
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| Motherboard | ASUS X99-E WS | ASUS Z10PE-D8 WS | ASUS Z10PE-D16 WS | |
| Power Supply | 2x 1300 W (80 PLUS Platinum) | |||
| Operating System | Ubuntu 16.04 LTS | |||
| Libraries |
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| Deep Learning Frameworks |
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Send us an email (sales@manycoresoft.co.kr) to request an inquiry.
Contact
Room 308, Building 138, Seoul National University, Seoul 08826, Korea
sales@manycoresoft.co.kr
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